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Showing 101 - 120 results of 5,085 for search '(((( algorithm value function ) OR ( algorithm npc function ))) OR ( algorithm python function ))*', query time: 0.45s Refine Results
  1. 101
    Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions.

    Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  2. 102
    Summary of AUC values from different classification algorithms.

    Summary of AUC values from different classification algorithms. by Christopher E. Niemczak (8586861)

    Published 2024
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  3. 103
    Function values by the two rescheduling measures.

    Function values by the two rescheduling measures. by Yuxuan Long (17720796)

    Published 2024
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  4. 104
    RMSE value filled by different algorithms (mean ± std).

    RMSE value filled by different algorithms (mean ± std). by Xing Chen (140292)

    Published 2024
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  5. 105
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  6. 106
    The value ranges of velocity parameters.

    The value ranges of velocity parameters. by Ahmed Bahaa (12887063)

    Published 2022
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  7. 107
    The value ranges of position parameters.

    The value ranges of position parameters. by Ahmed Bahaa (12887063)

    Published 2022
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  8. 108
    The function value of the single objective optimal solution.

    The function value of the single objective optimal solution. by Yuhang Wang (332111)

    Published 2025
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  9. 109
    Contrast enhancement of digital images using dragonfly algorithm

    Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

    Published 2024
    “…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”
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  10. 110
    Result of output membership functions of the truth value.

    Result of output membership functions of the truth value. by Thanasan Intarakumthornchai (9606684)

    Published 2020
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  11. 111
    APSO–CNN and FNN algorithms’ loss function training sets.

    APSO–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

    Published 2022
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  12. 112
    APSO–CNN and FNN algorithms’ loss function validation sets.

    APSO–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

    Published 2022
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  13. 113
    Parameter values and utility/disutility functions.

    Parameter values and utility/disutility functions. by Jorge Herrera de la Cruz (11886266)

    Published 2021
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  14. 114
    The results of the tested methods on 12 benchmarking functions of the STD values.

    The results of the tested methods on 12 benchmarking functions of the STD values. by Chuang Zhang (2199421)

    Published 2023
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  15. 115
    Benchmark functions.

    Benchmark functions. by Xiaowen Zhang (83669)

    Published 2023
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  16. 116
    Changes in the loss function value on the validation set.

    Changes in the loss function value on the validation set. by Kyung Won Kwon (18150416)

    Published 2024
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  17. 117
    -value on 23 benchmark functions (dim = 30).

    -value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

    Published 2025
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  18. 118
    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions.

    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  19. 119
    ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms.

    ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

    Published 2024
    “…<p>ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms.…”
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  20. 120
    The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.

    The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

    Published 2025
    “…<p>The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.…”
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